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nanobot/tests/command/test_model_command.py
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from types import SimpleNamespace
from unittest.mock import MagicMock
import pytest
from nanobot.agent.loop import AgentLoop
from nanobot.bus.events import InboundMessage
from nanobot.bus.queue import MessageBus
from nanobot.command.builtin import (
build_help_text,
builtin_command_palette,
cmd_model,
register_builtin_commands,
)
from nanobot.command.router import CommandContext, CommandRouter
from nanobot.config.schema import ModelPresetConfig
def _provider(default_model: str, max_tokens: int = 123) -> MagicMock:
provider = MagicMock()
provider.get_default_model.return_value = default_model
provider.generation = SimpleNamespace(
max_tokens=max_tokens,
temperature=0.1,
reasoning_effort=None,
)
return provider
def _make_loop(tmp_path) -> AgentLoop:
return AgentLoop(
bus=MessageBus(),
provider=_provider("base-model", max_tokens=123),
workspace=tmp_path,
model="base-model",
context_window_tokens=1000,
model_presets={
"default": ModelPresetConfig(
model="base-model",
max_tokens=123,
context_window_tokens=1000,
),
"fast": ModelPresetConfig(
model="openai/gpt-4.1",
max_tokens=4096,
context_window_tokens=32_768,
),
},
)
def _ctx(loop: AgentLoop, raw: str, args: str = "") -> CommandContext:
msg = InboundMessage(channel="cli", sender_id="user", chat_id="direct", content=raw)
return CommandContext(msg=msg, session=None, key=msg.session_key, raw=raw, args=args, loop=loop)
@pytest.mark.asyncio
async def test_model_command_lists_current_and_available_presets(tmp_path) -> None:
loop = _make_loop(tmp_path)
out = await cmd_model(_ctx(loop, "/model"))
assert "Current model: `base-model`" in out.content
assert "Active preset: `(none)`" in out.content
assert "`default`" in out.content
assert "`fast`" in out.content
assert out.metadata["render_as"] == "text"
assert out.metadata["_webui_model_name"] == "base-model"
@pytest.mark.asyncio
async def test_model_command_switches_preset(tmp_path) -> None:
loop = _make_loop(tmp_path)
out = await cmd_model(_ctx(loop, "/model fast", args="fast"))
assert "Switched model preset to `fast`." in out.content
assert "Model: `openai/gpt-4.1`" in out.content
assert out.metadata["_webui_model_name"] == "openai/gpt-4.1"
assert loop.model_preset == "fast"
assert loop.model == "openai/gpt-4.1"
assert loop.subagents.model == "openai/gpt-4.1"
assert loop.consolidator.model == "openai/gpt-4.1"
assert loop.dream.model == "openai/gpt-4.1"
@pytest.mark.asyncio
async def test_model_command_switches_back_to_default(tmp_path) -> None:
loop = _make_loop(tmp_path)
loop.set_model_preset("fast")
out = await cmd_model(_ctx(loop, "/model default", args="default"))
assert "Switched model preset to `default`." in out.content
assert out.metadata["_webui_model_name"] == "base-model"
assert loop.model_preset == "default"
assert loop.model == "base-model"
assert loop.context_window_tokens == 1000
@pytest.mark.asyncio
async def test_model_command_unknown_preset_keeps_old_state(tmp_path) -> None:
loop = _make_loop(tmp_path)
out = await cmd_model(_ctx(loop, "/model missing", args="missing"))
assert "Could not switch model preset" in out.content
assert "Available presets: `default`, `fast`" in out.content
assert loop.model_preset is None
assert loop.model == "base-model"
@pytest.mark.asyncio
async def test_model_command_does_not_depend_on_my_allow_set(tmp_path) -> None:
loop = _make_loop(tmp_path)
assert loop.tools_config.my.allow_set is False
await cmd_model(_ctx(loop, "/model fast", args="fast"))
assert loop.model_preset == "fast"
@pytest.mark.asyncio
async def test_model_command_registered_as_exact_and_prefix(tmp_path) -> None:
router = CommandRouter()
register_builtin_commands(router)
loop = _make_loop(tmp_path)
out = await router.dispatch(_ctx(loop, "/model fast"))
assert out is not None
assert "Switched model preset" in out.content
assert loop.model_preset == "fast"
def test_model_command_in_help_and_palette() -> None:
palette = builtin_command_palette()
assert any(item["command"] == "/model" and item["arg_hint"] == "[preset]" for item in palette)
assert "/model [preset]" in build_help_text()